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sync_mastodon

Sync recent Mastodon posts from a public or hashtag timeline into memory. Supports optional instance, hashtag, and access token parameters.

Instructions

Sync recent Mastodon posts from a public or hashtag timeline into memory.

Uses the Mastodon REST API. Public and hashtag timelines require no authentication. An access token is only needed for home timeline or private accounts.

Optional environment variables: MASTODON_INSTANCE - Mastodon instance URL (default: https://mastodon.social) MASTODON_HASHTAG - default hashtag to sync (without #) MASTODON_ACCESS_TOKEN - access token for authenticated requests (optional)

Args: instance: Mastodon instance base URL (e.g. https://fosstodon.org). Uses MASTODON_INSTANCE env var if not provided. hashtag: Hashtag to sync (without #, e.g. 'python'). Uses MASTODON_HASHTAG env var or public timeline if not provided. access_token: OAuth access token. Uses MASTODON_ACCESS_TOKEN env var if not provided.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instanceNo
hashtagNo
access_tokenNo
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It covers authentication but fails to disclose critical behavioral traits such as whether syncing overwrites or appends to existing memory, potential rate limits, or error handling. The term 'sync' is ambiguous regarding side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections (purpose, API details, environment, Args). Every sentence adds value, though it could be slightly more concise by merging the environment and args sections.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers authentication and parameter details but lacks information on the sync behavior (e.g., does it merge or replace?), error handling, and rate limits. Given that no output schema exists and the tool imports external data, these gaps reduce completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description thoroughly explains each parameter in the Args section, including defaults and environment variable fallbacks. This adds significant meaning beyond the bare JSON Schema, though it could be more precise about input formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('sync'), resource ('Mastodon posts'), and scope ('recent', 'public or hashtag timeline'), making the purpose specific and unambiguous. It distinguishes from sibling tools by explicitly mentioning 'Mastodon', which is unique among the listed sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on authentication requirements (public/hashtag vs home/private) and environment variable alternatives. While it doesn't explicitly say when to use this tool over alternatives (e.g., sync_all), the sibling tools are clearly for different platforms, so usage is implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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